Analysis and improvement of total variation regularization
by Lo Wing Cheong
THESIS
2006
M.Phil. Mathematics
x, 58 leaves : ill. ; 30 cm
Abstract
Total variation minimizing model (ROF model) is one of the successful methods of image recovery. In this paper, we study some properties of the standard ROF model and the improved ROF model. Some results are based on the papers of Chan, Strong, Esedoglu and Osher. We will use another approach to consider the theorems in all these papers and try to extend the results from R2 to RN. Finally, we will give some suggestions for the new models and give some experimental results.
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